Results 161 to 170 of about 8,324 (219)
Applying machine learning and natural language processing to patient safety event reports: Identifying patterns of cardiovascular diagnostic errors. [PDF]
PLoS OneTabaie A +7 more
europepmc +1 more source
RNN-based detection of IoT malware using diverse feature engineering methods. [PDF]
Sci RepAbd-Ellah MK +3 more
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Past, present, and future of virtual reality-based biological science education (2010-2025): a BERTopic-driven analysis. [PDF]
BMC Med EducXian J, Wu JG.
europepmc +1 more source
Early emergency department decision support for heart failure hospitalization using triage-level unstructured and structured data: a retrospective cohort study. [PDF]
BMC Med Inform Decis MakEmakhu J +8 more
europepmc +1 more source
KNN with TF-IDF based Framework for Text Categorization
Procedia Engineering, 2014 KNN is a very popular algorithm for text classification. This paper presents the possibility of using KNN algorithm with TF-IDF method and framework for text classification. Framework enables classification according to various parameters, measurement and analysis of results.
Bruno Trstenjak, Dzenana Donko
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Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval, 2008
Interpretations of TF-IDF are based on binary independence retrieval, Poisson, information theory, and language modelling. This paper contributes a review of existing interpretations, and then, TF-IDF is systematically related to the probabilities P(q|d) and P(d|q). Two approaches are explored: a space of independent, and a space of disjoint terms. For
Thomas Roelleke, Jun Wang 0032
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Interpretations of TF-IDF are based on binary independence retrieval, Poisson, information theory, and language modelling. This paper contributes a review of existing interpretations, and then, TF-IDF is systematically related to the probabilities P(q|d) and P(d|q). Two approaches are explored: a space of independent, and a space of disjoint terms. For
Thomas Roelleke, Jun Wang 0032
openaire +1 more source
Sentiment Enhanced Hybrid TF-IDF for Microblogs
2014 IEEE Fourth International Conference on Big Data and Cloud Computing, 2014As the usage of social networks grows day by day, a single person can reach hundreds or thousands of people in a minute. Micro blogging is the new era of social communication, which can be used anywhere thanks to mobile phones. People spend hours and use social networks extensively, expressing their feelings, interests and dislikes. If this data can be
Atakan Simsek, Pinar Karagoz
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Using TF-IDF to hide sensitive itemsets
Applied Intelligence, 2012Data mining technology helps extract usable knowledge from large data sets. The process of data collection and data dissemination may, however, result in an inherent risk of privacy threats. Some sensitive or private information about individuals, businesses and organizations needs to be suppressed before it is shared or published.
Tzung-Pei Hong +3 more
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Document clustering: TF-IDF approach
2016 International Conference on Electrical, Electronics, and Optimization Techniques (ICEEOT), 2016Recent advances in computer and technology resulted into ever increasing set of documents. The need is to classify the set of documents according to the type. Laying related documents together is expedient for decision making. Researchers who perform interdisciplinary research acquire repositories on different topics.
Prafulla Bafna +2 more
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